Lotto Results
On Saturday night, February 1, 2025, the Lotto draw in Washington marked a notable return: 04 13 25 30 48 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on February 1, 2025 in Washington.
Draw times: Evening.
Our take on the Lotto results
February 1, 2025Lotto report — Saturday night, February 1, 2025: 04 13 25 30 48 49 shows a notable pattern
On Saturday night, February 1, 2025, the Lotto draw in Washington marked a notable return: 04 13 25 30 48 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Saturday night, February 1, 2025, the Lotto draw in Washington marked a notable return: 04 13 25 30 48 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 04 13 25 30 48 49 uses 6 distinct numbers and a wide spread from 4 to 49.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
Specifically: this report records the recorded draws for Saturday night, February 1, 2025 with reference to historical frequency baselines. The intent is documentation, not forecasting.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.